Senior Mechanical Engineer SymboticSenior Mechanical EngineerDanvers, MAApplying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. Cross-Functional Collaboration: Work closely with electrical, software, controls, manufacturing, and quality engineering teams to ensure seamless integration and product success. .
Senior Software Machine Learning Engineer (Teradyne, North Reading, MA) Teradyne, Inc.Senior Software Machine Learning Engineer (Teradyne, North Reading, MA)North Reading, MA$133,900–$223,900 / yearDrive applied research and model innovation, explore and evaluate new architectures, algorithms, and training methodologies, and translate promising approaches into production systems. Lead end-to-end development of production ML systems: data ingestion and feature engineering, model architecture design, training pipelines, evaluation frameworks, and deployment.
NewMachine Learning Engineer - Hybrid XPO Inc.Machine Learning Engineer - HybridBoston, MA$100,000–$120,000 / year1 year of experience in software or machine learning engineering, including hands-on experience building data pipelines, ML infrastructure, or MLOps tooling. Strong collaboration skills, with experience partnering with data science/applied science teams and data engineering teams.
Staff Machine Learning Engineer, Technical Lead Paperless PartsStaff Machine Learning Engineer, Technical LeadBoston, MA$195,000–$263,000 / yearCollaborative Partner: You seamlessly collaborate with researchers, other engineering teams, and business stakeholders, helping ensure we build the right technology, deploy it scalably, and bring it to market. Step into the role of Technical Lead for our newly formed engineering pod, building the core manufacturing intelligence engine powering the future of Paperless Parts.
Machine Learning Engineer Cartesian SystemsMachine Learning EngineerCambridge, MADeep expertise in a relevant subfield, e.g., time-series models (transformer-based or probabilistic/state estimation), representation learning, computer vision, or multi-sensor fusion (2D/3D perception, pose estimation, tracking, SLAM). You'll own ML problems end to end, from framing and data, through modeling and evaluation, to production and monitoring across hundreds of live stores, and help shape the technical roadmap of a category-defining product.
Software Machine Learning Engineer (Teradyne, North Reading, MA) Teradyne, Inc.Software Machine Learning Engineer (Teradyne, North Reading, MA)North Reading, MA$116,500–$186,400 / yearYou will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and interpretable AI.
Senior / Staff Machine Learning Engineer - Scene Intelligence ZooxSenior / Staff Machine Learning Engineer - Scene IntelligenceBoston, MA$189,000–$290,000 / yearCollaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions. Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.
Senior Staff Machine Learning Engineer - Perception ZooxSenior Staff Machine Learning Engineer - PerceptionBoston, MA$277,000–$389,000 / yearExperience with training and deploying Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
Machine Learning / Reinforcement Learning Infrastructure Engineer EkaMachine Learning / Reinforcement Learning Infrastructure EngineerCambridge, MassachusettsCollaborate with Researchers: Partner with the research team to understand their needs, build infrastructure that supports cutting-edge methods, guide best practices for training at scale, and contribute to core JAX model and training code. Distributed Systems: Familiarity with distributed training, multi-host setups, data pipelines, and managing workloads on cloud platforms or orchestration systems (e.g., Kubernetes, SLURM, GCP, AWS).
Staff Machine Learning Engineer, Agentic Systems Boston Dynamics, inc.Staff Machine Learning Engineer, Agentic SystemsWaltham, MA$155,000–$235,000 / yearIn this pivotal role, you will work on System 2 - the planning and reasoning layer that sits above robotic control - enabling humanoid robots to perform long horizon tasks in dynamic environments. You will work closely with behavior engineers to design and build Atlas' agentic architecture - empowering robust autonomy through the use of task prompts, long-horizon planning, VLM inference, memory, and tool use.
NewMachine Learning Engineer MatrixSpaceMachine Learning EngineerBurlington, MARemote$165,000–$200,000 / yearThis is an engineering-heavy ML role focused on productionizing algorithms created by Data Scientists, with some ownership of the ML infrastructure that helps those Data Scientists move faster. Enjoys bridging the gap between research and production, finding practical engineering solutions that make advanced ML usable in real-world products.
Principal Machine Learning Engineer, Foundation Models Cambridge Mobile TelematicsPrincipal Machine Learning Engineer, Foundation ModelsCambridge, MA$177,000–$221,300 / yearPioneer advanced self-supervised learning techniques, including the design and implementation of innovative tasks tailored to multi-modal telematics sensor data to learn rich representations of movement and driver behavior. Experience building and maintaining large-scale data processing pipelines and machine learning infrastructure using tools like Spark, Airflow, Docker, and cloud platforms (e.g., AWS, GCP, Azure).
Machine Learning Engineer IconstaffMachine Learning EngineerCambridge, MassachusettsSpun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond.
Staff Machine Learning Engineer - Generative AI XometryStaff Machine Learning Engineer - Generative AIWaltham, MAThis is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Staff Machine Learning Engineer Centum SearchStaff Machine Learning EngineerBoston, MassachusettsLead the design and development of machine learning models that power core fintech products such as risk scoring, fraud detection, personalization, or financial forecasting. As one of the early ML leaders at the company, you will work closely with engineering, product, and data teams to define the roadmap for machine learning and establish best practices for model development and deployment.
Senior AI / Machine Learning Engineer Absentia LabsSenior AI / Machine Learning EngineerBoston, MassachusettsThis role is intended for engineers who have trained large models in real production environments, understand the realities of scale, and can reason about both learning dynamics and systems constraints. Design, train, and evaluate large-scale models, including Large Language Models (LLMs), diffusion models, and Graph Neural Networks (GNNs).
Machine Learning Engineer - Computational Drug Discovery 5AM VenturesMachine Learning Engineer - Computational Drug DiscoveryWatertown, MAOur team is dedicated to the development of a broad pipeline of small molecules powered by unique chemistry insights to address a wide range of highly unmet clinical needs. The ideal candidate is comfortable operating across disciplines, takes pride in building reliable systems, and appreciates the opportunity to have a direct impact on scientific decision-making.
Machine Learning / Reinforcement Learning Engineer EkaMachine Learning / Reinforcement Learning EngineerCambridge, MassachusettsData & Pipeline Engineering: Develop scalable data management pipelines for real and synthetic data; evaluate and select algorithms that maximize data efficiency and overall policy performance. Track Record: A history of publications in top-tier robotics or machine learning conferences, or a portfolio of projects providing strong practical evidence of expertise in the field.
Machine Learning Engineer DEKA Research & DevelopmentMachine Learning EngineerManchester, NHIf you want to design distributed systems, deploy production ML models, and architect scalable data pipelines that make a measurable difference — this is your opportunity, and it starts with the software you design and deliver at DEKA.This role is on-site at DEKA in Manchester, NH. How You Will Make an Impact: Design and implement scalable backend services and microservices powering data-intensive, real-world applications.
Machine Learning Engineer Air Space IntelligenceMachine Learning EngineerBoston, MassachusettsExperience building and maintaining scalable, reliable production ML systems with robust data pipelines, including expertise with Apache Beam, MLflow, and similar production-grade tools. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority—compressing days of analysis into seconds of action.